Data Farming Around the World Overview
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Authors
Horne, Gary E.
Schweiz, Klaus-Peter
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Date of Issue
2008
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Abstract
Data Farming combines the rapid prototyping capability
inherent in certain simulation models with the exploratory
power of high performance computing to rapidly generate
insight into questions. The Data Farming process focuses
on a more complete landscape of possible system responses,
rather than attempting to pinpoint an answer.
Data Farming allows decision makers to more fully understand
the landscape of possibilities and also consider outliers
that may be discovered. Over the past decade, an international
community has formed around these ideas. In
2008, International Data Farming Workshop 16 took place
in Monterey, California, USA and workshop number 17
was held in Garmisch Partenkirchen, Germany. In addition
to a summary of these two workshops, this paper will present
an overview of the process that has developed to include
the development of both methods and applications in
the International Data Farming Community.
Type
Conference Paper
Description
Proceedings of the 2008 Winter Simulation Conference S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds.
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Department
SEED Center for Data Farming
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.